Пример #1
0
def main():
    tb = gr.top_block()
    # noise source
    n = mlse.randint_b(2)
    reshape_n = gr.stream_to_vector(1, 58*2)
    tb.connect(n,reshape_n)
    # limit experiment length
    head=gr.head(58*2,1)
    tb.connect(reshape_n, head)
    
    # modulate
    gsm_burstmod = gsm.gsm_modulate_burst()
    tb.connect(head, gsm_burstmod)
    random_tsc_index = mlse.randint_b(8);
    tb.connect(random_tsc_index, (gsm_burstmod,1))

    # apply channel
    channel = gsm.my_channel(-100,[0.2,1,0.2])
    channel_apply = gsm.apply_channel_to_vect(148, channel, 1)
    tb.connect(gsm_burstmod, channel_apply)

    # derotate
    derot = mlse.derotate_cc(148,4,-1) #FIXME: why -1? (not as if it matters)
    tb.connect(channel_apply, derot)

    modsink = gr.vector_sink_c(148)
    datasink = gr.vector_sink_b(58*2)
    tb.connect(derot, modsink)
    tb.connect(head, datasink)


    # mlse-decode
    decode = mlse.equalizer_midamble_vcb(mlse.make_packet_config_gsm())
    tb.connect(derot,decode)
    tb.connect(random_tsc_index, (decode,1))

    # ber
    ber = mlse.ber_vbi(58*2)
    tb.connect(decode, ber)
    tb.connect(head, (ber,1))

    result_sink = gr.vector_sink_b(58*2)
    tb.connect(decode, result_sink)

    chanest_sink = gr.vector_sink_c(7)
    tb.connect((decode,1), chanest_sink)

    tb.run()
    tb.run()
    d=modsink.data()
#    printvect_c(d)
    print ber.bit_error_rate()
    print_bitvect( datasink.data())
    print_bitvect( result_sink.data())
    import operator
    print_bitvect( map(operator.xor, datasink.data(), result_sink.data()))
    printvect_c( chanest_sink.data())
Пример #2
0
def main():
    tb = gr.top_block()
    # noise source
    n = mlse.randint_b(2)
    reshape_n = gr.stream_to_vector(1, 58 * 2)
    tb.connect(n, reshape_n)
    # limit experiment length
    head = gr.head(58 * 2, 1)
    tb.connect(reshape_n, head)

    # modulate
    gsm_burstmod = gsm.gsm_modulate_burst()
    tb.connect(head, gsm_burstmod)
    random_tsc_index = mlse.randint_b(8)
    tb.connect(random_tsc_index, (gsm_burstmod, 1))

    # apply channel
    channel = gsm.my_channel(-100, [0.2, 1, 0.2])
    channel_apply = gsm.apply_channel_to_vect(148, channel, 1)
    tb.connect(gsm_burstmod, channel_apply)

    # derotate
    derot = mlse.derotate_cc(148, 4,
                             -1)  #FIXME: why -1? (not as if it matters)
    tb.connect(channel_apply, derot)

    modsink = gr.vector_sink_c(148)
    datasink = gr.vector_sink_b(58 * 2)
    tb.connect(derot, modsink)
    tb.connect(head, datasink)

    # mlse-decode
    decode = mlse.equalizer_midamble_vcb(mlse.make_packet_config_gsm())
    tb.connect(derot, decode)
    tb.connect(random_tsc_index, (decode, 1))

    # ber
    ber = mlse.ber_vbi(58 * 2)
    tb.connect(decode, ber)
    tb.connect(head, (ber, 1))

    result_sink = gr.vector_sink_b(58 * 2)
    tb.connect(decode, result_sink)

    chanest_sink = gr.vector_sink_c(7)
    tb.connect((decode, 1), chanest_sink)

    tb.run()
    tb.run()
    d = modsink.data()
    #    printvect_c(d)
    print ber.bit_error_rate()
    print_bitvect(datasink.data())
    print_bitvect(result_sink.data())
    import operator
    print_bitvect(map(operator.xor, datasink.data(), result_sink.data()))
    printvect_c(chanest_sink.data())
Пример #3
0
    def make_flowgraph(self):
        tb = gr.top_block()
        # noise source
        n = mlse.randint_b(2)
        reshape_n = gr.stream_to_vector(1, 58 * 2)
        tb.connect(n, reshape_n)
        # limit experiment length
        head = gr.head(58 * 2, self.packets)
        tb.connect(reshape_n, head)

        # modulate
        gsm_burstmod = gsm.gsm_modulate_burst()
        tb.connect(head, gsm_burstmod)
        random_tsc_index = mlse.randint_b(8)
        tb.connect(random_tsc_index, (gsm_burstmod, 1))

        # apply channel
        channel = gsm.my_channel(self.snr, self.chan_taps)
        channel_apply = gsm.apply_channel_to_vect(148, channel, 3)
        #TODO: don't use to_vector and to_stream for the channel
        tb.connect(gsm_burstmod, channel_apply)

        # derotate
        derot = mlse.derotate_cc(148, 4,
                                 -1)  #FIXME: why -1? (not as if it matters)
        tb.connect(channel_apply, derot)

        # mlse-decode
        if (self.no_decorr):
            decode = gsm.gsm_decode_harddecision()
        else:
            decode = mlse.equalizer_midamble_vcb(mlse.make_packet_config_gsm())
            tb.connect(random_tsc_index, (decode, 1))
        tb.connect(derot, decode)

        # ber
        ber = mlse.ber_vbi(58 * 2)
        tb.connect(decode, ber)
        tb.connect(head, (ber, 1))

        if (not self.no_decorr):
            # throw away channel-estimate data
            chanest_sink = gr.null_sink(6 * gr.sizeof_gr_complex)
            tb.connect((decode, 1), chanest_sink)

        # export members we need
        self.tb = tb
        self.ber = ber
        self.head = head
        self.channel = channel
Пример #4
0
    def make_flowgraph(self):
        tb = gr.top_block()
        # noise source
        n = mlse.randint_b(2)
        reshape_n = gr.stream_to_vector(1, 58*2)
        tb.connect(n,reshape_n)
        # limit experiment length
        head=gr.head(58*2,self.packets)
        tb.connect(reshape_n, head)
        
        # modulate
        gsm_burstmod = gsm.gsm_modulate_burst()
        tb.connect(head, gsm_burstmod)
        random_tsc_index = mlse.randint_b(8);
        tb.connect(random_tsc_index, (gsm_burstmod,1))

        # apply channel
        channel = gsm.my_channel(self.snr, self.chan_taps)
        channel_apply = gsm.apply_channel_to_vect(148, channel, 3)
        #TODO: don't use to_vector and to_stream for the channel
        tb.connect(gsm_burstmod, channel_apply)

        # derotate
        derot = mlse.derotate_cc(148,4,-1) #FIXME: why -1? (not as if it matters)
        tb.connect(channel_apply, derot)

        # mlse-decode
        if(self.no_decorr):
            decode = gsm.gsm_decode_harddecision()
        else:
            decode = mlse.equalizer_midamble_vcb(mlse.make_packet_config_gsm())
            tb.connect(random_tsc_index, (decode,1))
        tb.connect(derot,decode)

        # ber
        ber = mlse.ber_vbi(58*2)
        tb.connect(decode, ber)
        tb.connect(head, (ber,1))

        if(not self.no_decorr):
            # throw away channel-estimate data
            chanest_sink = gr.null_sink(6*gr.sizeof_gr_complex)
            tb.connect((decode,1), chanest_sink)

        # export members we need
        self.tb = tb
        self.ber = ber
        self.head = head
        self.channel = channel